dramaticlly commented on issue #11741:
URL: https://github.com/apache/iceberg/issues/11741#issuecomment-2533365254
I think use this we can reproduce the problem in a unit test from
`org.apache.iceberg.spark.sql.TestCreateTable` as it support all of
hive/spark/hadoop/rest catalog, I think rest and hadoop catalog will fail while
hive and spark will pass
```java
@TestTemplate
public void testCreateTable() {
assumeThat(catalogName).isEqualTo(SparkCatalogConfig.REST.catalogName());
assertThat(validationCatalog.tableExists(tableIdent))
.as("Table should not already exist")
.isFalse();
sql("CREATE TABLE %s (id BIGINT NOT NULL, data STRING) USING iceberg",
tableName);
Table table = validationCatalog.loadTable(tableIdent);
assertThat(table).as("Should load the new table").isNotNull();
StructType expectedSchema =
StructType.of(
NestedField.required(1, "id", Types.LongType.get()),
NestedField.optional(2, "data", Types.StringType.get()));
assertThat(table.schema().asStruct())
.as("Should have the expected schema")
.isEqualTo(expectedSchema);
assertThat(table.spec().fields()).as("Should not be
partitioned").hasSize(0);
assertThat(table.properties().get(TableProperties.DEFAULT_FILE_FORMAT))
.as("Should not have the default format set")
.isNull();
spark.sessionState().catalogManager().setCurrentCatalog(catalogName);
assertThat(spark.catalog().tableExists(tableIdent.toString())).isTrue();
// success
assertThat(spark.catalog().tableExists(tableIdent.namespace().toString(),
tableIdent.name())).isTrue(); //failure
}
```
I am wondering if anyone run into such when using REST base catalog?
CC @RussellSpitzer @flyrain
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